Community Battery Energy Storage Systems for Enhancing Distribution System Operation: A Multi-objective Optimization Approach
Date
2023
Authors
Wang, Y.
Wang, H.
Wagner, M.
Liebman, A.
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Advisors
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Conference paper
Citation
Proceedinbgs of the IEEE International Conference on Energy Technologies for Future Grids (ETFG 2023), 2023, pp.1-6
Statement of Responsibility
Yunqi Wang, Hao Wang, Markus Wagner, Ariel Liebman
Conference Name
IEEE International Conference on Energy Technologies for Future Grids (ETFG) (3 Dec 2023 - 6 Dec 2023 : Wollongong, Australia and virtual online)
Abstract
The growing penetration of distributed energy resources (DERs) in distribution networks (DNs) raises new operational challenges, particularly in terms of reliability and voltage regulation. In response to these challenges, we introduce an innovative DN operation framework with multi-objective optimization, leveraging community battery energy storage systems (C-BESS). The proposed framework targets two key operational objectives: first, to minimize voltage deviation, which is a concern for a distribution network service provider (DNSP), and second, to maximize the utilization of DERs on the demand side. Recognizing the conflicting nature of these objectives, we utilize C-BESS to enhance the system’s adaptability to dynamically adjust DN operations. The multi-objective optimization problem is solved using the non-dominated sorting genetic algorithm-II (NSGA-II). Case studies using real-world data are conducted to validate the effectiveness of the proposed framework. The results show significant improvements in voltage regulation and DER utilization, demonstrating the potential of C-BESS in enabling more reliable DN operation. Our findings contribute to the ongoing discourse on the role of C-BESS in DN operation enhancement and DER integration.
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The theme of this conference is “Challenges, Solutions and Opportunities for Industrial Transformation”.
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©2023 IEEE